Reminds me of a video that starts with the fact you can’t convince image generating AI to draw a wine glass filled to the brim. AI is great at replicating the patterns that it has seen and been trained on, like full wine glasses, but it doesn’t actually know why it works or how it works. It doesn’t know the things we humans know intuitively, like “filled to the brim means more liquid than full”. It knows the what but doesn’t get the why.

The same could apply to testing. AI knows how you solve test pages, but wouldn’t be that exact if you were to try adapting it into real life.